Paper Citation Record · LEDGER

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2506.00576.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.00576 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:19.701049Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:34:32.964507Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T06:06:18.865652Z

Reference resolution

33 of 33 outbound references displayed

verified exact3
verified fuzzy15
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2625eaa4-077b-4570-b1d5-bc85bb4320a3 · outbound

This paper cites Near-real-time ran intelligent controller use cases and requirements,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Near-real-time ran intelligent controller use cases and requirements,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:23.305798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2478aaa3-00cd-4da9-ab8a-ad9f769f10a8 · outbound

This paper cites A Comprehensive Tutorial and Survey of O-RAN: Exploring Slicing-aware Architecture, Deployment Options, Use Cases, and Challenges.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing A Comprehensive Tutorial and Survey of O-RAN: Exploring Slicing-aware Architecture, Deployment Options, Use Cases, and Challenges

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:20.570055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d53d759-c3f9-4d0c-92b2-8d0d9d0a0224 · outbound

This paper cites Study on enhanced access to and support of network slices,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Study on enhanced access to and support of network slices,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:23.141822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdf95391-c4cf-42c8-b0a3-458dd608e128 · outbound

This paper cites Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:16.922974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdffc9c-4027-4ba2-83d2-8d7deae0151a · outbound

This paper cites Evolutionary deep reinforcement learning for dynamic slice management in O-RAN,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Evolutionary deep reinforcement learning for dynamic slice management in O-RAN,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.991092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97b91f3a-be05-469e-a19e-6b7439b82687 · outbound

This paper cites Open RAN LSTM traffic prediction and slice management using deep reinforcement learning,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Open RAN LSTM traffic prediction and slice management using deep reinforcement learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.798057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25d06286-cf9d-4f39-82d0-313529ca109a · outbound

This paper cites Attention-based open ran slice management using deep reinforcement learning,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Attention-based open ran slice management using deep reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.635740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5db0f7d-2bb4-4aba-b234-e26c7c5b5474 · outbound

This paper cites Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:17.285721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68bff28e-1068-4050-96c1-00b9af901c2e · outbound

This paper cites Federated deep reinforce- ment learning for resource allocation in O-RAN slicing,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Federated deep reinforce- ment learning for resource allocation in O-RAN slicing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.463690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cb6ba7c-6f89-48f4-88f3-2701bb43c1be · outbound

This paper cites Resource management in wireless networks via multi-agent deep reinforcement learning,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Resource management in wireless networks via multi-agent deep reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.320451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41e63b75-0fa5-41e0-87c3-db9a67716c6d · outbound

This paper cites Large generative ai models for telecom: The next big thing?.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Large generative ai models for telecom: The next big thing?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.199593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdc90f3e-9e87-4c8e-89ed-5348a629f973 · outbound

This paper cites Understanding telecom language through large language models,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Understanding telecom language through large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:22.007918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc9b2e8f-6680-4ae0-b98c-695a43733f60 · outbound

This paper cites Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:20.328482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1030d8b-a2d0-4b73-a858-dd83f5cddc24 · outbound

This paper cites Llm-augmented deep reinforcement learning for dynamic o-ran network slicing,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Llm-augmented deep reinforcement learning for dynamic o-ran network slicing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:21.802279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3056d7d9-3966-45f1-9421-b333c2236d3a · outbound

This paper cites LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:17.981536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 827ac60a-c260-41ed-bf74-2b7d93d6fe22 · outbound

This paper cites Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.029191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc747d0d-52cf-4ca7-a086-348a3a091fb5 · outbound

This paper cites LLM-Empowered State Representation for Reinforcement Learning.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing LLM-Empowered State Representation for Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.128963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b637abb0-7b4b-4bac-bfa2-c5676210ecc2 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Lora: Low-rank adaptation of large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.243635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee6ede8-4d62-457e-9fa1-6ba2d8191bd1 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Parameter-efficient transfer learning for nlp,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.302789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3bd3845-f2c0-4373-87db-9c4e7d2e150c · outbound

This paper cites ORANSight-2.0: Foundational LLMs for O-RAN.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing ORANSight-2.0: Foundational LLMs for O-RAN

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.398689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0fe761-bddc-429d-954e-92bb6d849df1 · outbound

This paper cites Language models are unsupervised multitask learners,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Language models are unsupervised multitask learners,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.505480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad867aa9-ee94-4c8e-b880-2e693bf11baf · outbound

This paper cites Interactive ai with retrieval-augmented generation for next generation networking,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Interactive ai with retrieval-augmented generation for next generation networking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:21.629602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e02f7f4e-7829-4542-ba54-194053175ef5 · outbound

This paper cites Toward effective retrieval augmented generative services in 6g networks,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Toward effective retrieval augmented generative services in 6g networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:21.417214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d84a0b81-d7fc-45ed-adf3-50c4e60986ef · outbound

This paper cites Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.814126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7757900c-d932-4dcd-aa5e-0a0ba66273c5 · outbound

This paper cites ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:20.011439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e060da7-1250-4ee4-b99a-4e0aabe6ed4a · outbound

This paper cites An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:18.999230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b9b306-641d-4009-a608-bb835087de8d · outbound

This paper cites WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:19.081431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88b585a-90ce-4137-b4db-49e0de6d06af · outbound

This paper cites Telecomrag: Taming telecom standards with retrieval augmented generation and llms,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Telecomrag: Taming telecom standards with retrieval augmented generation and llms,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:21.200476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55ab873b-1a6a-40a3-a415-6550aa7590ad · outbound

This paper cites Llm-augmented deep reinforcement learning for dynamic o-ran network slicing,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Llm-augmented deep reinforcement learning for dynamic o-ran network slicing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:21.026235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 386df757-e9ff-4c23-b7c4-3cc2a240b3be · outbound

This paper cites ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:19.401155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a972fb90-416c-4776-97bc-8531a7dbd0e8 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:19.493563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86d9c43-719a-43e7-84e5-d6f82b1912af · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:19.573352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e8763e-a545-422a-878f-3e9e5fe10bb9 · outbound

This paper cites 5G; NR; physical channels and modulation,.

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing 5G; NR; physical channels and modulation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:20.742772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 2eb69d45-a3c3-4110-afdf-23c99f6ea5d2 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-04T19:34:32.964507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da3c637-4797-495d-b5ce-c6d4e880ecd0 · inbound

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications cites this paper.

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:18.867153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.